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Delaunay triangulation

As explained in Sutskever's List

Delaunay triangulation is a triangulation of points in which no point lies inside the circumcircle of any triangle.

Delaunay triangulation divides a set of points into triangles so that no point lies inside any triangle’s circumcircle. This rule avoids narrow, sliver-shaped triangles by maximizing the minimum angle. section 5.4.1

As a prediction task, it asks a Ptr-Net to choose the triangles connecting a given set of points. Classical computational geometry algorithms provide exact solutions for comparison. The network’s full reconstruction weakened as point sets grew, even when it still predicted many individual triangles correctly. section 5.4.1

Accuracy and triangle coverage

With 5 points, the network achieved 80.7% accuracy and 93.0% triangle coverage. With 50 points, it achieved no perfect reconstructions but still covered 52.8% of the triangles. section 5.4.1

How Sutskever's List covers it

How deep it goes
Defines the circumcircle condition and reports prediction results, noting that full reconstruction declines as point sets grow.
Examples
Compares accuracy and triangle coverage for point sets of 5 and 50 points.
What you can do after
Evaluate learned geometric predictions against exact solutions using accuracy and triangle coverage.
How it connects
Links circumcircles and computational geometry to Ptr-Net prediction.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Sutskever's List. The section links point to the parts of the book it draws on.